The Impact of Exchange Rate on the Performance of Banks Listed on the Iranian Stock Exchange: An Approach Using Copula Functions

نویسندگان
doi
10.66224/jme.20.1.121
چکیده

This study examines the impact of exchange rate fluctuations on the performance of banks listed on the Iranian Stock Exchange using advanced Copula models to capture nonlinear dependencies. While traditional linear methods (e.g., Pearson, Kendall, and Spearman correlations) showed weak or insignificant relationships, Copula analysis revealed moderate to strong nonlinear dependencies, particularly during periods of high volatility (e.g., 2018–2024). Key findings suggest that exchange rate fluctuations impact bank performance, as measured by return on assets (ROA), through complex mechanisms, underscoring the importance of risk management and macroeconomic policies. The study highlights the limitations of linear models in Iran's sanctioned economy and advocates for integrated policies combining currency risk mitigation, internal bank efficiency improvements, and diversified revenue strategies to enhance financial stability.